Google search interests and new cases of COVID-19 in Bangladesh: a vector autoregression analysis for disease surveillance
Abstract This study explores the application of Google Search Trends (GST) data as a tool for COVID-19 surveillance in Bangladesh. Using the Vector Autoregression (VAR) approach, it investigates how GST search can predict new COVID-19 cases. The findings show that GST can offer timely insights into...
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| Main Authors: | Monir Uddin Ahmed, Mazbahul G. Ahamad, Md. Mahedi Hasan, Syed Fahad Al Amin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
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| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13104-025-07381-2 |
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